{"id":42175,"date":"2023-11-20T02:14:58","date_gmt":"2023-11-20T08:14:58","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/hungarian-colorectal-screening-pub\/"},"modified":"2023-11-20T02:14:58","modified_gmt":"2023-11-20T08:14:58","slug":"hungarian-colorectal-screening-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/hungarian-colorectal-screening-pub\/","title":{"rendered":"HUNGARIAN-COLORECTAL-SCREENING-PUB"},"template":"","class_list":["post-42175","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Pataki, B. \u00c1., Olar, A., Ribli, D., Pesti, A., Kontsek, E., Gy\u00f6ngy\u00f6si, B., Bilecz, \u00c1., Kov\u00e1cs, T., Kov\u00e1cs, K. A., Kramer, Z., Kiss, A., Sz\u00f3cska, M., Pollner, P., &amp; Csabai, I. (2022). <strong>HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening<\/strong>. In Scientific Data (Vol. 9, Issue 1). <a href=\"https:\/\/doi.org\/10.1038\/s41597-022-01450-y\">https:\/\/doi.org\/10.1038\/s41597-022-01450-y<\/a><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1038\/s41597-022-01450-y","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_citation"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}